Facebook tests new way to combat revenge porn

09 November 2017, 01:30 | Ruben Fields

Facebook asks users to upload nudes to fight revenge porn

Facebook's latest attempt to wipe revenge porn off its platform takes an unusual tack: asking users to send in their own nude photos. Next, they will be asked to send the images to themselves on Messenger.

The publication reports that Australia is one in four countries taking part in this "cutting-edge technology".

Would you voluntarily send Facebook nude photos of yourself? Compromising images that are shared with Facebook will be hashed to create a digital fingerprint which the company can then use to identify the same images if they are uploaded by someone else.

The company says it won't store the pictures and only Facebook's AI is supposed to access them, but the system still requires an enormous amount of trust from users.

My hope and expectation is that Facebook will automate the process as much as possible, but that there may need to be some human involvement to review submitted images.

First, you upload an explicit image of yourself to FacebookMessenger (you can do so by starting a conversation with yourself). Well, share your nude photo first with Facebook.

A team of specially trained representatives from Facebook's community operations team will then review the image to decide whether it should be taken down.

"They're not storing the image, they're storing the link and using artificial intelligence and other photo-matching technologies", said Julie Inman Grant the commissioner of the e-Safety office. Roughly four percent of US internet users have been victims of revenge porn, according to a 2016 Data & Society Research Institute report.

Earlier this year, Facebook implemented a photo-matching tool in the U.S. to stop sharing of content tagged as revenge porn in the past. Any intimate photos that are posted and flagged on Facebook or Instagram will automatically be marked to prevent future postings of those images. Once the photo has been uploaded, Facebook's hashing system can recognize the photo without it being visible to the public.

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